Misratah, Libya
Misratah, Libya

Misrata University is a university based in the city of Misrata, Libya. It was formed in 2010 by the merger of Seventh of October University and Almergab University .The university's main campus is located in downtown Misrata. Other campuses are located in the cities of Bani Walid, Zliten, Khoms, Tarhuna, Msallata and Garabulli. The university reports that it has 4,000 faculty members and enrollment of 55,500 students.Seventh of October University was established in Misrata in 1984. It included fifteen department and five colleges.The College of Medicine was started in 1997 by affiliation with the medical college at Al Fateh University. In 2003 the University’s own College of Medicine was established.Dr. Mohamed Aldwaib is head of the university.In 2010, Rasheed Mohammad Omar El-Meheesy , a law professor at Misrata University in the city of Zliten, led a committee that investigated the issuance of fake diplomas in Libyan universities and uncovered 150 fake bachelor's degrees issued by 22 universities. Eleven faculty members were fired and several students were expelled as a result of the committee's findings. On 19 May 2010 El-Meheeshy was arrested and imprisoned on charges of sexual harassment, apparently based on complaints filed by some of the expelled students. In prison, El-Meheeshy was not given access to his usual heart medication and he suffered a stroke. After he was taken to a hospital for treatment, he was handcuffed to the hospital bed. He was released on bail on 21 June pending a trial scheduled for 20 September. The Network for Education and Academic Rights issued an alert regarding his case, urging its supporters to contact Libyan authorities to urge them to ensure appropriate legal and medical treatment for El-Meheeshy and to continue the investigation of fake university degrees in Libya.The main campus in Misrata was the scene of fighting and sustained significant damage during the Libyan Civil War in 2011. However, the university's college of nursing successfully graduated 18 nursing students in May 2012. Wikipedia.

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Shanina M.,Misurata University | McCartney J.S.,University of California at San Diego
Soils and Foundations | Year: 2015

This study is focused on understanding the influence of anisotropic stress states on the thermal volume change of unsaturated, compacted silt specimens. A thermo-hydro-mechanical true-triaxial cell was used that permits control of the temperature on all six boundaries of a cubical soil specimen as well as control of the suction within the specimen to provide drained conditions during mechanical loading and temperature changes. Six non-isothermal tests were performed as part of this study, each involving suction application, consolidation to a given isotropic or anisotropic stress state, heating and cooling in stages under drained conditions, and unloading. Specifically, tests having minor to major principal stress ratios of 1.0, 0.7, and 0.5 were performed on specimens having initial degrees of saturation of 0.7 and 0.8, complementing tests on the same soil under similar stress states but saturated conditions published in a previous study. Although compressive thermal axial strains were measured in both the major and minor stress directions, a greater thermal axial strain was observed in the direction of the major principal stress for stress ratios less than 1.0. However, similar thermal volumetric strains were observed in all of the tests regardless of the stress state. A small effect of inherent anisotropy was observed due to the formation of the specimen using compaction. Specimens with a lower initial degree of saturation experienced greater thermal volume changes than specimens closer to saturation, possibly due to thermal collapse of the air-filled voids during heating or thermally accelerated creep after application of a given plastic strain during mechanical loading. An empirical relationship to consider the effects of anisotropic stress states and variable saturation was incorporated into an established elasto-plastic model developed for saturated soils under isotropic conditions, and a good fit was obtained between the measurements and predictions. © 2017.


Azam F.,NIMS University | Madi A.M.,Misurata University | Ali H.I.,Helwan University
Journal of Young Pharmacists | Year: 2012

Monoamine oxidase B (MAO-B) inhibitory potential of adenosine A 2A receptor (AA 2A R) antagonists has raised the possibility of designing dual-target-directed drugs that may provide enhanced symptomatic relief and that may also slow the progression of Parkinson′s disease (PD) by protecting against further neurodegeneration. To explain the dual inhibition of MAO-B and AA 2A R at the molecular level, molecular docking technique was employed. Lamarckian genetic algorithm methodology was used for flexible ligand docking studies. A good correlation (R2 = 0.524 and 0.627 for MAO-B and AA 2A R, respectively) was established between docking predicted and experimental Ki values, which confirms that the molecular docking approach is reliable to study the mechanism of dual interaction of caffeinyl analogs with MAO-B and AA 2A R. Parameters for Lipinski′s "Rule-of-Five" were also calculated to estimate the pharmacokinetic properties of dual-target-directed drugs where both MAO-B inhibition and AA 2A R antagonism exhibited a positive correlation with calculated LogP having a correlation coefficient R2 of 0.535 and 0.607, respectively. These results provide some beneficial clues in structural modification for designing new inhibitors as dual-target-directed drugs with desired pharmacokinetic properties for the treatment of PD.


Azam F.,Misurata University | Mohamed N.,Misurata University | Alhussen F.,Misurata University
Network: Computation in Neural Systems | Year: 2015

Green tea catechins have extensively been studied for their imminent role in reducing the risk of various neurodegenerative diseases such as Parkinsons disease (PD). Understanding the molecular interaction of these compounds with various anti-Parkinsonian drug targets is of interest. The present study is intended to explore binding modes of catechins with molecular targets having potential role in PD. Lamarckian genetic algorithm methodology was adopted for molecular docking simulations employing AutoDock 4.2 program. Toxicity potential and molecular properties responsible for good pharmacokinetic profile were calculated by Osiris property explorer and Molinspiration online toolkit, respectively. A strong correlation coefficient (r2 = 0.893) was obtained between experimentally reported and docking predicted activities of native co-crystallized ligands of the 18 target receptors used in current study. Analysis of docked conformations revealed monoamine oxidase-B as most promising, while N-methyl-D-aspartate receptor was recognized as the least favorable target for catechins. Benzopyran skeleton with a phenyl group substituted at the 2-position and a hydroxyl (or ester) function at the 3-position has been identified as common structural requirements at majority of the targets. The present findings suggest that epigallocatechin gallate is the most promising lead to be developed as multitarget drug for the design and development of novel anti-Parkinsonian agents. © 2016 Taylor and Francis.


Abuzawayda Y.I.,Misurata University
2014 9th International Conference on Digital Information Management, ICDIM 2014 | Year: 2014

Technology development has led to a change in the way governments, individuals, institutions and business entities provide quality services to the public. In Middle East, governments have embraced technology as an efficient way through which services are provided to citizens. Through e-Government, various services are provided to citizens and this is a major development. The main objective of the study is to explore the quality of e-government services in middle east. The application of various technology platforms has helped citizens in Middle East to access quality services through e-Government. Electronic government which is also known as connected or online government refers to the process by which government and citizens interact through the use of information and communication technology. The main aspects of e-Government in Middle East are the concepts of governance, information and communication technology, e-citizen and business process re-engineering. In essence, Middle East is effective in providing essential services to citizens through electronic interactions. Interaction between government and its citizens through technology is faced with certain challenges even through the benefits are numerous. The quality of e-Government services is very important as it is a way through which citizens are provided with standard, effective and essential services. © 2014 IEEE.


Abuluwefa H.T.,Misurata University
Applied Mechanics and Materials | Year: 2013

Steel reheating prior to hot rolling is a process which is necessary to achieve sound mechanical and chemical properties of the finished steel products. Heating of steel works in reheat furnaces takes place gradually and with specific rates in order to avoid the development of structural defects due to the development thermal stresses. A mathematical two dimensional heat transfer model was constructed in order to calculate steel slab heating profile through the reheat furnace with actual temperature set points of the furnace zones being used as an input to this model. Calculated slab temperatures indicated aggressive heating of the steel in the early stages of heating and that slabs remain at temperatures close to rolling temperatures for longer period of time than necessary. This finding necessitates a readjustment of slab heating strategy in order to protect furnace components and steel from overheating. © (2013) Trans Tech Publications, Switzerland.


Azam F.,NIMS University | Amer A.M.,Misurata University | Rabulifa A.,Misurata University | Elzwawi M.M.,Misurata University
Drug Design, Development and Therapy | Year: 2014

Ginger (Zingiber officinale), despite being a common dietary adjunct that contributes to the taste and flavor of foods, is well known to contain a number of potentially bioactive phytochemicals having valuable medicinal properties. Although recent studies have emphasized their benefits in Alzheimer’s disease, limited information is available on the possible mechanism by which it renders anti-Alzheimer activity. Therefore, the present study seeks to employ molecular docking studies to investigate the binding interactions between active ginger components and various anti-Alzheimer drug targets. Lamarckian genetic algorithm methodology was employed for docking of 12 ligands with 13 different target proteins using AutoDock 4.2 program. Docking protocol was validated by re-docking of all native co-crystallized ligands into their original binding cavities exhibiting a strong correlation coefficient value (r2=0.931) between experimentally reported and docking predicted activities. This value suggests that the approach could be a promising computational tool to aid optimization of lead compounds obtained from ginger. Analysis of binding energy, predicted inhibition constant, and hydrophobic/hydrophilic interactions of ligands with target receptors revealed acetylcholinesterase as most promising, while c-Jun N-terminal kinase was recognized as the least favorable anti-Alzheimer’s drug target. Common structural requirements include hydrogen bond donor/acceptor area, hydrophobic domain, carbon spacer, and distal hydrophobic domain flanked by hydrogen bond donor/acceptor moieties. In addition, drug-likeness score and molecular properties responsible for a good pharmacokinetic profile were calculated by Osiris property explorer and Molinspiration online toolkit, respectively. None of the compounds violated Lipinski’s rule of five, making them potentially promising drug candidates for the treatment of Alzheimer’s disease. © 2014 Azam et al.


Srar J.A.,Misurata University | Chung K.-S.,Curtin University Australia | Mansour A.,Curtin University Australia
IEEE Transactions on Antennas and Propagation | Year: 2010

A new adaptive algorithm, called least mean square-least mean square (LLMS) algorithm, which employs an array image factor, F, sandwiched in between two least mean square (LMS) algorithm sections, is proposed for different applications of array beamforming. It can operate with either prescribed or adaptive F. The convergence of LLMS algorithm is analyzed for two different operation modes; namely with external reference or self-referencing. The range of step size values for stable operation has been established. Unlike earlier LMS algorithm based techniques, the proposed algorithm derives its overall error signal by feeding back the error signal from the second LMS algorithm stage LMS2 to combine with that of the first LMS algorithm section LMS 1. Computer simulation results show that LLMS algorithm is superior in convergence performance over earlier LMS based algorithms, and is quite insensitive to variations in input signal-to-noise ratio and actual step size values used. Furthermore, LLMS algorithm remains stable even when its reference signal is corrupted by additive white Gaussian noise (AWGN). In addition, the proposed LLMS algorithm is robust when operating in the presence of Rayleigh fading. Finally, the fidelity of the signal at the output of an LLMS algorithm beamformer is demonstrated by means of the resultant values of error vector magnitude (EVM) and scatter plots. © 2010 IEEE.


Saad E.,Misurata University | Hirakawa K.,University of Dayton
IEEE Transactions on Image Processing | Year: 2016

We propose modifications to scale-space feature extraction techniques scale-invariant feature transform (SIFT) and speeded up robust features (SURFs) that make the feature detection and description invariant to defocus blur. Specifically, the scale-space blob detection relies on the second derivative responses of images. Our analysis of circular defocus blur (which sufficiently approximates a real camera blur kernel) and its effect on scale-space blob detection suggests that fourth derivative-and not the usual second derivative-is optimal for detecting the blurred blobs, while multi-scale descriptors of blurred blobs are effective at establishing correspondences between the blurred images. The proposed defocus blur-invariant (DBI) scale-space feature extraction techniques-which we refer to as DBI-SIFT and DBI-SURF-do not require image deblurring nor blur kernel estimation, meaning that their accuracy does not depend on the quality of image deblurring. We offer empirical evidence of blur invariance by establishing interest point correspondences between sharp or blurred reference images and blurred target images. © 1992-2012 IEEE.


Elrajubi O.M.,Misurata University
International Conference on Research and Innovation in Information Systems, ICRIIS | Year: 2013

According to the desired level of analyzing words, Arabic stemming algorithms can be classified into stem-based (light stemming algorithms), and root-based algorithms. Light stemming algorithms only remove prefixes and suffixes from the words, while root-based algorithms remove prefixes, suffixes and infixes. There are several light stemmers for Arabic (Light1, Light2, Light3, Light8, and Light10), For retrieval information Light10 stemmer is out-performed the other light stemmers. In this paper, Arabic stemming algorithms are studied. And, literature review of Arabic stemmers is discussed. In addition, a new Arabic light stemmer was proposed and Implemented. The main step of the light stemmer is removing the prefixes and suffixes of the words. And because this step causes changing of the meaning of some words, many other steps are designed and implemented in the proposed stemmer. The proposed stemmer and Light10 stemmer were tested on the same Arabic data which is developed in this work. The accuracy rate of Light10 stemmer was 66%, while the accuracy rate of the proposed stemmer was 88.25 %. The reasons for incorrect stemming of the proposed stemmer are mentioned. © 2013 IEEE.


Abu-Ella O.,Misurata University | Wang X.,Columbia University
IET Communications | Year: 2013

In this study, the authors propose a transceiver system for large-scale multiple-input-multiple-output (MIMO) (LSM) wireless communications. The authors present the main challenges facing such LSM system, also, they find solutions for those problems. The transmitters in this proposed downlink system uses a simple fair user scheduling based on limited-feedback algorithm with basic random precodeing algorithm. On the other side, receivers employ constrained partial group decoder to detect their desired signals. Simulation is used to evaluate sum-rate performance of this LSM downlink system against the total number of users and signal-to-noise ratio, using different number of scheduled users and with various group sizes of jointly decoded users. Numerical results interestingly show an encouraging performance for the proposed transceiver system in this study to be considered as a candidate scheme for LSM communication systems. ©The Institution of Engineering and Technology 2013.

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